An adjusted K -medoids clustering algorithm for effective stability in vehicular ad hoc networks-Reference-Cited by-同舟云学术

An adjusted K -medoids clustering algorithm for effective stability in vehicular ad hoc networks

Author:

Hajlaoui Rejab¹^ORCID,Alsolami Eesa²,Moulahi Tarek³⁴,Guyennet Hervé¹

Affiliation:

1. DISC Department; University Bourgogne Franche-Comté; Besançon France

2. Department of Computer Science; University of Jeddah; Jeddah Saudi Arabia

3. BIND R. Group, CoC; Qassim University; Buraidah Saudi Arabia

4. Mathematics and Computer Science Department; Faculty of Science and Technology; Sidi Bouzid Tunisia

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

Reference47 articles.

2. Vehicular ad hoc networks: from simulations to real-life scenarios;Hajlaoui;J Fundam Appl Sci,2018

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2. A Clustering Method Based on K-Means and Motion Similarity in Vehicle Ad Hoc Network;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10